Loudspeaker Filter Design With AI: Genetic Algorithm Selection Methods

This thesis details the design of a selection operator used in a Genetic Algorithm. The Genetic Algorithm is used for loudspeaker filter design of three way loudspeakers for which tournament selection was chosen as selection operator. A methodology is proposed and used to tune the parameters of tournament selection, which is based on diversity...

Genetic Algorithms for Inductive Program Synthesis

VanillaGP is an Inductive Program Synthesis algorithm that takes a Genetic Algorithm (GA) approach by using its 3 components: selection, mutation, and crossover. Many different alternatives exist for these components and although this is not the only application of a GAs on the Program Synthesis domain, it has not been extensively evaluated what...

Evolving a Search Procedure for Program Synthesis

In recent months, researchers developed several new search procedures to augment the process of program synthesis. While many of them performed better than their predecessors, the proposed solutions are still far from ideal. One possible way of overcoming the shortcomings of single search methods is employing genetic algorithms, which have been...

Genetic Algorithm for Evolving an Objective Function of a Program Synthesizer

Program Synthesis is a challenging problem in Artificial Intelligence. An important element of a program synthesizer is the objective function that guides the combinatorial search for a program that satisfies a given user intent. Given multiple I/O example transformations that correspond to the intended behavior of the program, this function...

VanillaGP: Genetic Algorithm for Inductive Program Synthesis

Inductive Program Synthesis is the problem of generating programs from<br/>a set of input-output examples. Since it can be reduced to the search problem in the space of programs, many search algorithms have been successfully<br/>applied to it over the years. This paper proposes, develops, and analyses<br/>a novel algorithm in the family of...

Spatial configurations and learning rules impact on the evolution of cooperative behaviour in the n-person iterative prisoner’s dilemma

Decision-making dynamics and their impact of human behaviour have raised a large number of questions throughout the years. Traits like competition and collaboration amongst agents are often studied, in the context of Game Theory, by the medium of games such as the Iterative Prisoners’ Dilemma.Furthermore, many realistic scenarios and possible...

Automated Pricing Suggestions

As Machine Learning is becoming more accessible to small businesses, thanks to the rapid advance in computing power, smaller start-ups such as Sjauf (a ride sharing start-up) are starting to get interested in implementing Machine Learning solutions in their product. Sjauf needed a system that could automatically tell its customers how much a...

Dynamic Distribution through the city of Amsterdam

This report explains the design choices, implementation and results of a software engineering project commissioned by MakeTek. The team was tasked with making a system that could solve bike delivery scheduling problems with limited bike carrying capacity, time windows, dynamic delivery additions, movable pickup points and delivery time estimates...